space_ga
OpenML dataset with id 507
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/52619/space_ga.arff
Upload date: 29 September 2014
Dataset Characteristics
Number of classes: 0
Number of features: 7 (numeric: 7, symbolic: 0 and in total binary: 0 )
Number of instances: 3,107
Number of instances with missing values: 0
Number of missing values: 0
Author: Source: Unknown - Date unknown Please cite:
Geographical Analysis Spatial Data
This georeferenced data set was used in:
Pace, R. Kelley, and Ronald Barry, Quick Computation of Regressions with a Spatially Autoregressive Dependent Variable, Geographical Analysis, Volume 29, Number 3, July 1997, p. 232-247.
It contains 3,107 observations on U.S. county votes cast in the 1980 presidential election. Specifically, it contains the total number of votes cast in the 1980 presidential election per county (VOTES), the population in each county of 18 years of age or older (POP), the population in each county with a 12th grade or higher education (EDUCATION), the number of owner-occupied housing units (HOUSES), the aggregate income (INCOME), the X spatial coordinate of the county (XCOORD), and the Y spatial coordinate of the county (YCOORD).
The dependent variable is the log of the proportion of votes cast for both candidates in the 1980 presidential election. Hence, we can express our dependent variable as ln(VOTES/ POP) = ln(VOTES)-ln(POP).
The overall data set has the following structure
[ln(VOTES/POP) POP EDUCATION HOUSES INCOME XCOORD YCOORD]
Additional details can be found, along with other data, manuscripts, free spatial software, and so forth, at www.spatial-statistics.com or www.finance.lsu.edu/re (follow the spatial statistics link). In particular, the above mentioned manuscript which used the data is available for download. If you have any questions, send an email to kelley@spatial-statistics.com.
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: 1
This page was built for dataset: space_ga
